Iris Tavernier
Impact in
- Food Science top 0.5%
- Proteins in Food Systems
- Food Chemistry and Fat Analysis
- Polysaccharides Composition and Applications
- Microencapsulation and Drying Processes
- Nutrition and Dietetics top 5%
- Biochemical Analysis and Sensing Techniques
Papers in
- Food Science 19
- Food Chemistry and Fat Analysis 17
- Proteins in Food Systems 17
- Microencapsulation and Drying Processes 2
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- Biochemical Analysis and Sensing Techniques 3
- Co-authors
- Koen Dewettinck (19 shared papers)Paul Van der Meeren (7 shared papers)Ashok R. Patel (4 shared papers)Chi Diem Doan (7 shared papers)Wahyu Wijaya (1 shared paper)Sabine Danthine (8 shared papers)Paula Kiyomi Okuro (2 shared papers)Tom Rimaux (8 shared papers)
In The Last Decade
Iris Tavernier
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 71
- Food Science 1.4k
- Nutrition and Dietetics 337
- Animal Science and Zoology 176
- Materials Chemistry 437
- Organic Chemistry 211
Countries citing papers authored by Iris Tavernier
This map shows the geographic impact of Iris Tavernier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Iris Tavernier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Tavernier more than expected).
Fields of papers citing papers by Iris Tavernier
This network shows the impact of papers produced by Iris Tavernier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Iris Tavernier. The network helps show where Iris Tavernier may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Tavernier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 330 | |
| 2 | 2016 | 176 | |
| 3 | 2017 | 171 | |
| 4 | 2017 | 109 | |
| 5 | 2018 | 108 | |
| 6 | 2016 | 81 | |
| 7 | 2017 | 79 | |
| 8 | 2016 | 78 | |
| 9 | 2017 | 69 | |
| 10 | 2017 | 66 | |
| 11 | 2018 | 51 | |
| 12 | 2020 | 45 | |
| 13 | 2018 | 41 | |
| 14 | 2018 | 34 | |
| 15 | 2017 | 23 | |
| 16 | 1986 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2018 | 3 |
About Iris Tavernier
Iris Tavernier is a scholar working on Food Science, Nutrition and Dietetics, Materials Chemistry, Animal Science and Zoology and Organic Chemistry, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Food Chemistry and Fat Analysis (17 papers), Proteins in Food Systems (17 papers), Biochemical Analysis and Sensing Techniques (3 papers), Pickering emulsions and particle stabilization (3 papers), Meat and Animal Product Quality (3 papers), Surfactants and Colloidal Systems (2 papers), Microencapsulation and Drying Processes (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Food Science (1.4k citations), Nutrition and Dietetics (337 citations), Animal Science and Zoology (176 citations), Materials Chemistry (437 citations) and Organic Chemistry (211 citations). Iris Tavernier has collaborated with scholars based in Belgium, Malaysia and Vietnam. Frequent co-authors include Koen Dewettinck, Paul Van der Meeren, Ashok R. Patel, Chi Diem Doan, Wahyu Wijaya, Sabine Danthine, Paula Kiyomi Okuro, Tom Rimaux, Davy Van de Walle and Mohd Dona Bin Sintang. Their work appears in journals such as Food Research International, Food Hydrocolloids, Food & Function, European Journal of Lipid Science and Technology and Journal of Food Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.